{"id":"W2974546867","doi":"","title":"Верна ли для Армении гипотеза роста на основе экспорта","year":2019,"lang":"ru","type":"article","venue":"Экономика и управление","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Currency; Economics; Quarter (Canadian coin); Granger causality; Monetary economics; Causality (physics); International economics; Real gross domestic product; Econometrics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001332421,0.0003092734,0.0002085183,0.00159418,0.0009466955,0.003102654,0.0003241242,0.00048379,0.009548701],"category_scores_gemma":[0.004165827,0.0002623136,0.0003365096,0.00190271,0.001628998,0.001435303,0.0008993565,0.0008985346,0.001705676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480562,"about_ca_system_score_gemma":0.001696208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004758286,"about_ca_topic_score_gemma":0.005937854,"domain_scores_codex":[0.9991328,0.0001631465,0.00007547835,0.0002060389,0.0003014574,0.0001210899],"domain_scores_gemma":[0.998282,0.0006204049,0.0005280477,0.0002022536,0.0002890547,0.00007831793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002998677,0.0001027243,0.07229984,0.0007706158,0.0001236715,0.003742371,0.008878645,0.006173913,0.009533516,0.5306232,0.008891322,0.3585604],"study_design_scores_gemma":[0.00006663708,0.0003337055,0.2388154,0.0008305525,0.0002297863,0.004817895,0.01126024,0.01067337,0.01531075,0.2390782,0.4784161,0.0001674665],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6534103,0.008883489,0.05041868,0.006215761,0.0006288937,0.000130844,0.001077237,0.0002838872,0.2789508],"genre_scores_gemma":[0.9764613,0.002056933,0.006439047,0.0001166653,0.00008197322,0.00003975091,0.0002015994,0.00003797167,0.01456471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009548701,"threshold_uncertainty_score":0.03194356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501876917249735,"score_gpt":0.178463194296723,"score_spread":0.1634444251242257,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}